Bayesian Multimodel Inference for Geostatistical Regression Models

Abstract

The problem of simultaneous covariate selection and parameter inference for spatial regression models is considered. Previous research has shown that failure to take spatial correlation into account can influence the outcome of standard model selection methods. A Markov chain Monte Carlo (MCMC) method is investigated for the calculation of parameter… (More)
DOI: 10.1371/journal.pone.0025677

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